Yuefei Liu
- Bridge monitoring data processing and prediction based on information entropy. In: Structures, v. 66 (August 2024). (2024):
- Dynamic serviceability and safety reliability analysis of aging PC girder bridges with non-prestressed reinforcement considering concrete shrinkage, creep and stochastic vehicle load flows. In: Structures, v. 64 (June 2024). (2024):
- Dynamic reliability analysis of the existing bridges based on probability density evolution method. In: Structures, v. 57 (November 2023). (2023):
- Time-Dependent Reliability Analysis of RC Bridges Considering Shrinkage, Creep, Resistance Degradation, and Vehicle Load Flows. In: Advances in Civil Engineering, v. 2023 (February 2023). (2023):
- Time-variant reliability analysis of simply supported PC girder bridges considering shrinkage, creep, resistance degradation and vehicle load flows. In: Structures, v. 56 (October 2023). (2023):
- Use of monitoring extreme strain data for failure probability analysis of concrete bridge girder: An optimal vine Gaussian-copula model. In: Structures, v. 44 (October 2022). (2022):
- (2021): Dynamic Reliability Prediction of Bridges Based on Decoupled SHM Extreme Stress Data and Improved BDLM. In: Advances in Civil Engineering, v. 2021 (January 2021).
- Vine Copula Data Fusion for Failure Probability Analysis of Steel Bridge Girder Section. In: Journal of Bridge Engineering (ASCE), v. 26, n. 6 (June 2021). (2021):
- (2021): BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses. In: Advances in Civil Engineering, v. 2021 (January 2021).
- Bayesian prediction of bridge extreme stresses based on DLTM and monitoring coupled data. In: Structural Health Monitoring, v. 19, n. 2 (September 2018). (2018):
- (2020): Incorporation of Structural Health Monitoring Coupled Data in Dynamic Extreme Stress Prediction of Steel Bridges Using Dynamic Coupled Linear Models. In: Advances in Civil Engineering, v. 2020 (January 2020).
- Dynamic reliability prediction of bridges based on nonlinear MGPF algorithm and SHM data. In: Construction and Building Materials, v. 155 (November 2017). (2017):